Paper Citation Record · LEDGER

Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.07304.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.07304 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:29:35.361914Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T15:09:55.198663Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dde8b645-7b8e-4830-a2bb-d430fbc4bb02 · inbound

Retrieval Augmented Recipe Generation cites this paper.

Retrieval Augmented Recipe Generation Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T21:29:35.361914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f0a40a-cea9-4987-898d-36caa0d6a161 · inbound

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks cites this paper.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:32.109779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd25c47-480e-42e9-9b53-bfe9f87287fe · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:52:07.993595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d46cb6f3-8119-4850-96a8-dfd6cbdc00ba · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.200587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.